Stability analysis of dynamic neural control

Stability analysis of dynamic neural control

In this paper, the authors summarize their research related to dynamic neural control. In particular, results on nonlinear system identification, nonlinear trajectory tracking, and input-to-state stability (ISS) of dynamic neural networks are presented. The main analysis tool utilized is the Lyapuno...

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Bibliographic Details
Published in:Expert systems with applications Vol. 14; no. 1; pp. 227 - 236
Main Authors: Poznyak, Alexander S., Yu, Wen, Sanchez, Edgar N., Perez, Jose P.
Format: Journal Article
Language:English
Published: Elsevier Ltd 1998
Online Access:Get full text
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Summary:In this paper, the authors summarize their research related to dynamic neural control. In particular, results on nonlinear system identification, nonlinear trajectory tracking, and input-to-state stability (ISS) of dynamic neural networks are presented. The main analysis tool utilized is the Lyapunov approach. References for the detailed demonstrations are given. We illustrate the applicability of the results by means of examples.
ISSN:0957-4174
1873-6793
DOI:10.1016/S0957-4174(97)00072-9